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Finance Engineer Jobs (NOW HIRING)

Agentic Finance Engineer

San Francisco, CA ยท On-site

$175K - $250K/yr

Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI - building the systems and infrastructure that power how our finance and corporate ...

The Software Engineer will support Tier 3 Application Management functions in Workday Finance, a cloud-based finance software system. More specific responsibilities will include coordinating with ...

Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in ...

Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in ...

SCADA Engineer

Oakland, CA ยท On-site

$135K/yr

Drawing upon an extensive knowledge base, we develop, finance, engineer, build, own, and operate high quality utility-scale photovoltaic projects and battery energy storage projects. Our Technology ...

Finance Analytics Engineer

San Mateo, CA ยท On-site

$185K - $221K/yr

As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data ...

SCADA Engineer

Oakland, CA ยท Hybrid

$135K/yr

Drawing upon an extensive knowledge base, we develop, finance, engineer, build, own, and operate high quality utility-scale photovoltaic projects and battery energy storage projects. Our Technology ...

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Finance Engineer information

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$76K

$110.8K

$136K

How much do finance engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for finance engineer in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 per year, depending on experience, location, and employer.

What is the difference between Finance Engineer vs Financial Analyst?

AspectFinance EngineerFinancial Analyst
Required CredentialsBachelor's degree in finance, engineering, or related fields; certifications like CFABachelor's degree in finance, economics, or related fields; CFA often preferred
Work EnvironmentFinancial institutions, investment firms, or tech companies focusing on financial modelingBanking, investment firms, corporate finance departments
Employer & Industry UsageFinance and tech sectors integrating engineering principles into financeTraditional finance sectors analyzing market data and financial performance

Finance Engineers focus on developing complex financial models and algorithms, often combining engineering skills with finance knowledge. Financial Analysts primarily analyze financial data to guide investment and business decisions. While both roles require strong analytical skills and finance credentials, Finance Engineers tend to work more on technical modeling and software development, whereas Financial Analysts focus on data interpretation and reporting.

What does a financial engineer do?

A financial engineer develops mathematical models and uses quantitative methods to analyze financial data, manage risk, and create investment strategies. They often work with programming tools like Python or R and may hold certifications such as CFA or FRM to support their analysis. Their work typically involves designing algorithms for trading, pricing derivatives, and optimizing portfolios.

What engineers make $500,000?

Senior finance engineers, especially those with extensive experience, advanced skills in financial modeling, programming, and data analysis, can earn $500,000 or more annually. Such compensation often includes base salary, bonuses, and stock options, typically in high-demand financial hubs or large corporations.

What are the key skills and qualifications needed to thrive as a Finance Engineer, and why are they important?

To thrive as a Finance Engineer, you need a solid background in mathematics, finance, and computer science, often supported by a relevant degree such as finance, engineering, or quantitative disciplines. Familiarity with programming languages like Python or R, financial modeling tools, and platforms such as Bloomberg Terminal is typically required, along with certifications like CFA or FRM being advantageous. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret data and collaborate with cross-functional teams. These skills are crucial for developing innovative financial solutions, managing risk, and supporting data-driven decision-making in complex financial environments.

What engineers make $200,000 a year?

Senior finance engineers, especially those with advanced skills in quantitative analysis, risk management, and financial modeling, can earn $200,000 or more annually. High compensation is often associated with experience, specialized certifications, and working in competitive financial sectors or firms with performance-based bonuses.

How does a Finance Engineer typically collaborate with cross-functional teams within an organization?

Finance Engineers often work closely with teams such as data analytics, risk management, IT, and portfolio management to develop and implement financial models and automated trading systems. They contribute their quantitative expertise to solve complex financial problems, ensuring that technological solutions align with business goals. Regular communication and collaboration are essential, as Finance Engineers need to translate financial requirements into technical specifications and vice versa. This cross-functional work environment provides valuable opportunities to learn from other disciplines and develop a well-rounded understanding of both finance and technology.

What engineers make $300,000 a year?

Senior finance engineers, especially those working in investment banking, hedge funds, or private equity, can earn $300,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced skills in financial modeling, programming, and risk management, along with extensive experience and sometimes professional certifications like CFA or CPA.

What are Finance Engineers?

Finance engineers, also known as financial engineers or quantitative analysts, use mathematical models, computer science, and statistical techniques to solve financial problems and develop new financial products. They often work for banks, investment firms, hedge funds, insurance companies, or fintech companies, designing algorithms for trading, risk management, and asset valuation. Their expertise helps organizations make data-driven decisions and manage financial risks more effectively.
More about Finance Engineer jobs
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What states have the most Finance Engineer jobs? States with the most job openings for Finance Engineer jobs include:
Agentic Finance Engineer

Agentic Finance Engineer

Mercor

San Francisco, CA โ€ข On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago


Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
This is a rare, foundational hire: Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI - building the systems and infrastructure that power how our finance and corporate operations team runs.
You will design and deploy the modern data and automation stack from the ground up: architecting scalable financial data models, integrating AI agents into real workflows, and turning manual, spreadsheet-driven processes into reliable, production-grade systems.
The ideal candidate has deep finance domain knowledge - you understand how the books actually close, how procurement flows, how revenue is recognized - and the technical fluency to translate that understanding into durable, automated systems. You're equally comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment.
What You'll Do
Finance Data & Systems
  • Facilitate the design, build, and maintenance of a reliable financial data foundation using modern tools (.g. dbt, FiveTran, Snowflake/BigQuery, Airflow), covering revenue, AP/AR, procurement, close, strategic finance and FP&A
  • Partner closely with data infrastructure team to build Mercor's financial data model: define canonical datasets, dimensional schemas, and the transformation logic that serves Finance stakeholders
  • Partner with Finance leads across accounting, strategic finance, and operations to translate business requirements into technical architecture
  • Build and maintain dashboards and self-serve reporting tools that give finance leaders real-time visibility into key metrics

AI & Automation
  • Own the Agentic Finance roadmap - prioritizing use cases and driving features from ideation to deployment
  • Identify high-value automation opportunities across Finance and corporate operations - month-end close tasks, reconciliations, procurement workflows, variance analysis - and ship solutions that eliminate manual work
  • Build intelligent, reliable automation via agents (in partnership with engineering teams), AI-powered tools, and multi-step ETL jobs into live finance workflows, using APIs (including frontier models)
  • Build internal tooling that Finance teams actually use: lightweight apps, workflow automations, and AI-assisted processes that save meaningful time at scale
  • Stay at the frontier of what's possible with AI in Finance (meeting other finance teams, reading research, etc.), and proactively bring new capabilities to bear on Mercor's highest-leverage operational problems

Governance, Quality & Scale
  • Enforce data integrity standards and testing practices across all financial data products - ensuring auditability and reliability for a maturing Finance function
  • Ensure AI-assisted processes meet appropriate governance and controls standards, with clear auditability of model outputs used in financial workflows
  • Champion a culture of data quality and documentation so that Finance teams trust and rely on the systems you build

What We're Looking For
  • 3+ years of experience spanning finance operations, data engineering, analytics engineering, data science, or a combination - with a track record of shipping reliable systems in high-growth environments
  • Understand the data needs of finance and corporate operations, including accounting, finance operations, FP&A, strategic finance, and procurement
  • You should be very proficient in SQL and Python. While you can learn data & workflow orchestration tools on-the-job, we expect you to have a very strong computer science fundamentals.
  • A builder's instinct: you take ownership of problems, move fast, and know when to do things properly versus pragmatically
  • Excellent communication skills - you can explain a data model to a CFO and a pipeline architecture to an engineer
  • Experience navigating ambiguity in early-stage or rapidly scaling environments

Bonus Points
  • Hands-on experience deploying AI agents or LLM-powered tools
  • Experience with financial data governance and audit readiness
  • Background in strategic finance, accounting, FP&A, or finance transformation - or time spent in a high-growth tech company's finance function

Compensation
  • Base cash comp from $175K - $250k
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance
  • 401(k) with company match